Mastering Recommendation Systems with Python

This Specialization equips learners with practical skills to design and implement robust recommendation systems using Python. Spanning foundational techniques to hybrid models, it covers collaborative filtering, content-based filtering, and real-world deployment strategies using libraries like Surprise, Pandas, and Scikit-learn.

Learners will explore use cases like movie and book recommenders, applying best practices from real-world platforms.